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Course Outline
Understanding Data-Informed Decision-Making
- Core definitions and distinctions: data-informed versus data-driven.
- Illustrative examples of data-informed decisions in public administration.
- Primary sources of evidence within government contexts.
Accessing and Evaluating Data
- Identifying relevant metrics, indicators, and reports.
- Assessing data reliability and completeness.
- Comprehending data provenance and inherent limitations.
Formulating the Right Questions
- Structuring decisions and defining information requirements.
- Determining what to ask data teams, analysts, or dashboards.
- Clarifying objectives before analysing the data.
Interpreting Data Insights
- Analyzing tables, visualizations, and dashboards.
- Distinguishing between correlation and causation.
- Identifying gaps, anomalies, and biases.
Applying Data to Practical Decisions
- Utilising evidence to support or refine policy recommendations.
- Evaluating tradeoffs and risks when working with incomplete data.
- Documenting rationale in memos, briefs, or presentations.
Communicating and Defending Decisions
- Employing data storytelling for non-technical stakeholders.
- Incorporating transparency into recommendations.
- Addressing challenges or scrutiny with evidentiary support.
Summary and Next Steps
Requirements
- General background in public policy, programme delivery, or service management.
- Familiarity with government procedures or decision-making processes.
- Confidence in interpreting charts, reports, or key performance indicators.
Target Audience
- Policy and programme analysts.
- Public administrators and managers.
- Government decision-makers and strategic planners.
7 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
